Robust Model Predictive Control Strategy for LTV and LPV Systems of the Internal Reforming Solid Oxide Fuel Cell

Author(s):  
Narissara Chatrattanawet ◽  
Soorathep Kheawhom ◽  
Amornchai Arpornwichanop
Processes ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 918 ◽  
Author(s):  
Narissara Chatrattanawet ◽  
Soorathep Kheawhom ◽  
Yong-Song Chen ◽  
Amornchai Arpornwichanop

An off-line robust linear model predictive control (MPC) using an ellipsoidal invariant set is synthesized based on an uncertain polytopic approach and then implemented to control the temperature and fuel in a direct internal reforming solid oxide fuel cell (SOFC). The state feedback control is derived by minimizing an upper bound on the worst-case performance cost. The simulation results indicate that the synthesized robust MPC algorithm can control and guarantee the stability of the SOFC; although there are uncertainties in some model parameters, it can keep both the temperature and fuel at their setpoints.


2005 ◽  
Vol 2 (2) ◽  
pp. 136-140 ◽  
Author(s):  
Eric S. Greene ◽  
Maria G. Medeiros ◽  
Wilson K. S. Chiu

A one-dimensional model of chemical and mass transport phenomena in the porous anode of a solid-oxide fuel cell, in which there is internal reforming of methane, is presented. Macroscopically averaged porous electrode theory is used to model the mass transfer that occurs in the anode. Linear kinetics at a constant temperature are used to model the reforming and shift reactions. Correlations based on the Damkohler number are created to relate anode structural parameters and thickness to a nondimensional electrochemical conversion rate and cell voltage. It is shown how these can be applied in order to assist the design of an anode.


2019 ◽  
Vol 131 ◽  
pp. 1032-1051 ◽  
Author(s):  
Maciej Chalusiak ◽  
Michal Wrobel ◽  
Marcin Mozdzierz ◽  
Katarzyna Berent ◽  
Janusz S. Szmyd ◽  
...  

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